Determination of Vickers hardness in D2 steel and TiNbN coating using convolutional neural networks

The study of material hardness is crucial for determining its quality, potential failures, and appropriate applications, as well as minimizing losses incurred during the production process. To achieve this, certain criteria must be met to ensure high quality. This process is typically performed manu...

Full description

Autores:
Buitrago Diaz, Juan C.
Ortega-Portilla, Carolina
Mambuscay, Claudia L.
Piamba, Jeferson Fernando
Forero, Manuel G.
Tipo de recurso:
Article of journal
Fecha de publicación:
2023
Institución:
Universidad de Ibagué
Repositorio:
Repositorio Universidad de Ibagué
Idioma:
eng
OAI Identifier:
oai:repositorio.unibague.edu.co:20.500.12313/3843
Acceso en línea:
https://hdl.handle.net/20.500.12313/3843
Palabra clave:
Material hardness
Indentation image analysis
Vickers hardness
Corner detection
Diagonal measurement
D2 steel
Thermal treatment
Titanium niobium nitride (TiNbN) coating
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2